Mine audience language.Use the words people use.

Give your AI a few public posts or a topic. Dativue brings in the comments, so your messaging starts with real questions, objections and needs.

See real results

Paste into your AI

Your audience language brief

Better messaging starts with listening.

Questions and objections

Find repeated concerns and distinguish them from isolated remarks.

Language you can use

See short, relevant phrases alongside their source posts.

Messages to test

Turn the evidence into specific copy and content angles for your offer.

Original sources included

Better messaging starts with listening.

Voice of customer analysis that connects message angles to the public conversations behind them.

Questions and objections

Find repeated concerns and distinguish them from isolated remarks.

Language you can use

See short, relevant phrases alongside their source posts.

Messages to test

Turn the evidence into specific copy and content angles for your offer.

Real sources. Better research.

Dativue brings these public sources into your AI. You choose the target and market; your AI connects the evidence to the decision you want to make.

Community replies

Questions, objections and workarounds in public threads

Video comments

How viewers react to the topics you want to cover

Post discussions

Comments around relevant public social posts

A useful answer. In your AI.

Questions and objections
Language you can use
Messages to test

See what Dativue actually found.

A real research example. The source links and collected metrics sit alongside the recommendations they support.

Questions behind an AI discovery discussion

14 returned comments · one Reddit thread

Collected 26 Sept 2026

Research request

Read public Reddit comments about AI data sources and identify useful messaging questions.

The replies raise questions about channel selection, independent mentions and AI citations. These are audience concerns to investigate.

Make channel advice specific

Messaging question

What the data shows

Participants discuss YouTube, Reddit and independent comparisons as sources to investigate.

What to do next

Ask prospects which channels influence their decisions. Use a specific research scope in your messaging.

AI data sources discussion14 comments retrieved

Answer uncertainty before making promises

Objection to address

What the data shows

Replies disagree about how much Reddit contributes to AI answers.

What to do next

Explain which sources a report actually retrieved. Separate citations from assumptions about model behavior.

Public comments and conflicting recommendationsQualitative discussion · not a measured ranking study

One discussion is not representative of a market. Replies include self-promotion and conflicting claims. No participant claim about AI ranking was independently verified.

Your question. A clear research path.

01
Copy the prompt into your AI.
Your AI checks its Dativue connection and helps you complete the supported setup if needed.
02
Add the context it asks for.
Describe your target, market and goal. The prompt asks only for essentials you have not already supplied.
03
Review the evidence and next step.
Get your audience language brief, with returned measurements, source links and clear recommendations.

Mine audience language.

Copy the prompt into your AI. It asks for the missing context, helps connect Dativue if needed, then runs your research.

Mine audience language

Help me mine audience language using Dativue.

Connect Dativue if needed
Ask for the context that matters
Return evidence and a useful next step

First check whether Dativue is already connected and its research tools are available in this AI app. Reuse an existing connection. If it is missing, read https://dativue.com/SKILL.md and help me complete the supported setup for this app. If login or account approval is needed, give me the connection link and wait for me to finish. Verify access with a free research_credit_quote call before saying Dativue is ready. If this app cannot connect, explain the supported next step. Then return to this research.

Before using any research tool, review what I have already provided. If essential details are missing, ask me one concise round of questions about the target audience, product or offer, public post URLs or the topic used to find them, and the messages or decisions I want to improve. Do not repeat questions I have already answered. Wait for my response before running research. Quote only if I ask for an estimate. If a search call requires a maximum hold above the approval threshold, ask me to approve that maximum before running it. Once you have enough context, retrieve comments from the public posts I provide. Cluster repeated questions, objections, desires, and exact phrases without exposing unnecessary personal information. Cite the source posts and recommend message angles grounded in the evidence.

Use social_comments for up to four public post URLs. If I supply only a topic, use a bounded social_search first to find relevant posts. Exclude bots, moderation messages and irrelevant replies. Cluster questions, objections, desires and workarounds. Return a theme table with short exact phrases, source links and message ideas. Do not enrich commenter identities.

Keep the research bounded to the question I asked. Quote a multi-call plan when a spending bound is needed and ask for approval when its maximum exceeds Dativue's approval threshold. When a call returns pending, poll its exact jobId with research_job_status instead of repeating the paid call. Use only public data. Keep original URLs, collection dates and returned metrics. Separate retrieved evidence, calculations and your recommendations. Mark missing information N/A and explain unavailable sources without inventing results.

A few things to know.

What will this workflow give me?

Questions and objections: Find repeated concerns and distinguish them from isolated remarks. Language you can use: See short, relevant phrases alongside their source posts. Messages to test: Turn the evidence into specific copy and content angles for your offer. The exact detail depends on the public data returned for your target.

Are public comments representative of all customers?

No. They show what people in the selected conversations say. Your AI reports the sample size and sources, then presents messaging ideas as hypotheses to test with your own customers.

Do I need to install Dativue first?

Copy the prompt first. Your AI checks for an existing connection and helps you follow the supported setup if needed. Some AI apps require you to add a connector in settings. You complete account login and approval yourself.

Can I use this for my own market?

Yes. Describe your target, country, language and goal. Your AI asks for missing essentials and adapts the research to your answers. Available sources and detail can vary by market.

How are research credits handled?

The workflow keeps research bounded and asks for approval when required by your account's credit threshold. A quote can show the maximum hold before a larger plan. Actual search charges may be lower, and unused held credits are returned.

Choose the next question you want your AI to research.

Browse all workflows

Mine audience language.Use the words people use.

Better messaging starts with listening.

Better messaging starts with listening.

Questions and objections

Language you can use

Messages to test

Real sources. Better research.

A useful answer. In your AI.

See what Dativue actually found.

Questions behind an AI discovery discussion

Make channel advice specific

What the data shows

What to do next

Answer uncertainty before making promises

What the data shows

What to do next

Your question. A clear research path.

Copy the prompt into your AI.

Add the context it asks for.

Review the evidence and next step.

Mine audience language.

A few things to know.

Find content trends

Analyze a competitor

Repurpose a video

Mine audience language.Use the words people use.

Better messaging starts with listening.

Better messaging starts with listening.

Questions and objections

Language you can use

Messages to test

Real sources. Better research.

A useful answer. In your AI.

See what Dativue actually found.

Questions behind an AI discovery discussion

Make channel advice specific

What the data shows

What to do next

Answer uncertainty before making promises

What the data shows

What to do next

Your question. A clear research path.

Copy the prompt into your AI.

Add the context it asks for.

Review the evidence and next step.

Mine audience language.

A few things to know.

Explore another workflow.

Find content trends

Analyze a competitor

Repurpose a video